Advances in Multimedia Information Processing - PCM 2017

Advances in Multimedia Information Processing - PCM 2017

English | PDF | 2018 | 1029 Pages | ISBN : 3319773828 | 153.37 MB

The two-volume set LNCS 10735 and 10736 constitutes the thoroughly refereed proceedings of the 18th Pacific-Rim Conference on Multimedia, PCM 2017, held in Harbin, China, in September 2017.
The 184 full papers presented were carefully reviewed and selected from 264 submissions. The papers are organized in topical sections on: Best Paper Candidate; Video Coding; Image Super-resolution, Debluring, and Dehazing; Person Identity and Emotion; Tracking and Action Recognition; Detection and Classification; Multimedia Signal Reconstruction and Recovery; Text and Line Detection/Recognition; Social Media; 3D and Panoramic Vision; Deep Learning for Signal Processing and Understanding; Large-Scale Multimedia Affective Computing; Sensor-enhanced Multimedia Systems; Content Analysis; Coding, Compression, Transmission, and Processing.

Download:

http://longfiles.com/s4hc7xlpg7ol/Advances_in_Multimedia_Information_Processing_-_PCM_2017.pdf.html

[Fast Download] Advances in Multimedia Information Processing - PCM 2017


Ebooks related to "Advances in Multimedia Information Processing - PCM 2017" :
Emotions and Personality in Personalized Services: Models, Evaluation and Applications
CAPM/PMP Project Management Certification All-In-One Exam Guide
CCNA Routing and Switching ICND2 200-105 Official Cert Guide, Academic Edition
The Kubernetes Book
Web and Wireless Geographical Information Systems
Fundamentals and Evolution of MPEG-2 Systems: Paving the MPEG Road
Bertrand Meyer, Jim Woodcock - Verified Software: Theories, Tools, Experiments
Model-Based Software Performance Analysis
Big Data: Does Size Matter?
Cryptography InfoSec Pro Guide
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.